Jiannong Cao
https://www4.comp.polyu.edu.hk/~csjcao/
Hong Kong Polytechnic University, China
Title: Towards Collaborative Edge AI
Abstract
Existing edge computing research focuses on the vertical collaboration among cloud, edge, and end devices, while neglecting horizontal edge-to-edge collaborations, suffering from unoptimized resource utilization, restricted service coverage, and uneven performance. In this talk, I introduce our recent project on Collaborative Edge Computing Framework (CECF) enabling advanced AIoT applications which demand ultra-low latency, large-scale deployment, and dynamic access. Aiming at establishing a new-generation edge computing infrastructure, CECF provides new abstractions and functionalities for large-scale geo-distributed edge nodes to share compute, data, and network resources and collaboratively perform application tasks. It facilitates the evolution of the current edge computing to future collaborative edge intelligence There are many challenging issues, including heterogeneous edge networking, cross-node virtualization, scalable resource management, collaborative task scheduling, distributed machine learning, and seamless deployment of AIoT applications. I will highlight the proposed architecture, methods, and techniques to address the challenging issues and point out the future directions.
Biography
Dr. Cao is the Otto Poon Charitable Foundation Professor in Data Science, the Chair Professor of Distributed and Mobile Computing and the director of Internet and Mobile Computing Lab in the Department of Computing at The Hong Kong Polytechnic University. He served the department head from 2011 to 2017. Dr. Cao is also the Dean of Graduate School, director of Research Institute for AIoT, and director of Research Facility in Big Data Analytics at Hong Kong Polytechnic University.
Dr. Cao’s research interests include parallel and distributed computing, wireless sensing and networking, big data and AI, and mobile cloud and edge computing. He published 6 co-authored and 9 co-edited books, and over 500 papers in major international journals and conference proceedings. He also obtained 13 patents. He received many awards for his outstanding research achievements. Dr. Cao served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014. He is a member of Academia Europaea, a fellow of HK Academy of Engineering Sciences, a fellow of IEEE, a fellow of CCF and a distinguished member of ACM. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.